Acknowledgement
This work belongs to the project grant No: T2020-39TD, funded by Ho Chi Minh City University of Technology and Education, Vietnam.
References
- U. Bellugi and S. Fischer, "A comparison of sign language and spoken language" Cognition, vol. 1, no. 2-3, pp. 173-200, 1972. https://doi.org/10.1016/0010-0277(72)90018-2
- O. Aran and L. Akarun, "Sign Language Processing and Interactive Tools for Sign Language Education," 2007 IEEE 15th Signal Processing and Communications Applications, Eskisehir, 2007, pp. 1-4.
- L. Boppana, R. Ahamed, H. Rane and R. K. Kodali, "Assistive Sign Language Converter for Deaf and Dumb," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 302-307.
- N. C. Camgoz, S. Hadfield, O. Koller, H. Ney and R. Bowden, "Neural Sign Language Translation," 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, 2018, pp. 7784-7793.
- L. Kau, W. Su, P. Yu and S. Wei, "A real-time portable sign language translation system," 2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), Fort Collins, CO, 2015, pp. 1-4.
- P. Lakkhanawannakun and C. Noyunsan, "Speech Recognition using Deep Learning," 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), JeJu, Korea (South), 2019, pp. 1-4
- I. Gavat and D. Militaru, "Deep learning in acoustic modeling for Automatic Speech Recognition and Understanding - an overview," 2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, 2015, pp. 1-8
- A. Kumar, S. Verma and H. Mangla, "A Survey of Deep Learning Techniques in Speech Recognition," 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), Greater Noida, India, 2018, pp. 179-185
- N. K. Mudaliar, K. Hegde, A. Ramesh and V. Patil, "Visual Speech Recognition: A Deep Learning Approach," 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2020, pp. 1218-1221.
- K. Lee, H. Hon, M. Hwang, S. Mahajan and R. Reddy, "The SPHINX speech recognition system," International Conference on Acoustics, Speech, and Signal Processing,, Glasgow, UK, 1989, pp. 445-448 vol.1, doi: 10.1109/ICASSP.1989.266459.
- K. Lee, H. Hon and R. Reddy, "An overview of the SPHINX speech recognition system," in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, no. 1, pp. 35-45, Jan. 1990. https://doi.org/10.1109/29.45616
- D. Huggins-Daines, M. Kumar, A. Chan, A. W. Black, M. Ravishankar and A. I. Rudnicky, "Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices," 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Toulouse, 2006, pp. I-I.
- B. Lakdawala, F. Khan, A. Khan, Y. Tomar, R. Gupta and A. Shaikh, "Voice to Text transcription using CMU Sphinx A mobile application for healthcare organization," 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, 2018, pp. 749-753.
- D. B. C. Lima, R. M. B. da Silva Lima, D. de Farias Medeiros, R. I. S. Pereira, C. P. de Souza and O. Baiocchi, "A Performance Evaluation of Raspberry Pi Zero W Based Gateway Running MQTT Broker for IoT," 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 2019, pp. 0076-0081
- N. S. Yamanoor and S. Yamanoor, "High quality, low cost education with the Raspberry Pi," 2017 IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, USA, 2017, pp. 1-5
- A. P. Jadhav and V. B. Malode, "Raspberry PI Based OFFLINE MEDIA SERVER," 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2019, pp. 531-533